Principal ML Engineer - AI Security & Scalable Cloud

Palo Alto Networks, Inc.

Santa Clara (CA)

Hybrid

USD 156,000 - 253,000

Full time

14 days+

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Job summary

Palo Alto Networks is building a new AI security platform initiative on the AIRS team in Santa Clara, CA, focusing on state-of-the-art AI/ML infrastructure and high-performance distributed backends. Senior leaders will drive architecture for Sr. Staff, Principal, and Sr.

Principal roles in a hybrid on-site setup. You will work as an AI/ML Engineer at the forefront of safeguarding cloud infrastructure and AI model implementations, deploying autonomous solutions to classify threats and prevent

Qualifications

MS or PhD in Computer Science or related field with 8+ years software engineering experience, including 3+ years ML/NLP/AI systems.
Strong Python coding and hands-on ML frameworks (PyTorch or TensorFlow).
Experience with LLMs/SLMs, prompt engineering, and model fine-tuning.
Experience building scalable auto-classification and anomaly detection models on large datasets.

Responsibilities

Develop scalable anomaly detection pipelines for cloud environments and AI agent actions.
Lead SLM tuning for low-latency, high-accuracy edge-cloud security tasks.
Drive data classification using ML, NLP, and deep learning on massive datasets to extract threat patterns.
Collaborate with product, security, and cloud engineering to productionize ML solutions.